NOD Analytics

Data and Search

Unique Features of this #SoMe Search Engine

  • Standard Search Protocol. Unlike the in-built Twitter search feature, our Archive uses a standard search protocol. That means, regardless of who you follow or what you tweet about, you'll get the same results for the same query as anyone else. This establishes a common foundation of knowledge (a.k.a: a shared set of facts) with your colleagues.

  • Non-English tweets are translated into English. This unlocks the world's educational material for you.

  • Escape your information bubble. Unlike Twitter's search engine, our search engine finds high yield educational tweets irrespective of whom you follow. Our code is follower-agnostic and thus exposes you to a diversity of opinions.

  • Save & share your specific search results by clicking SHARE after your search has resulted.

  • More signal, less noise. We use 51 algorithms to find the highest quality educational tweets that are pertinent to your search. Pertinence over popularity is our goal.

  • In-house coding. The 51 algorithms we use are coded by us, so we know exactly what data we're getting/parsing and the quality of the search results that you are finding.

  • Better time management. You won't miss anything because it will be archived for future searches.

Search the Archives to find the latest information in Cardiology and Nephrology. Use the active hyperlinks to view the tweet and any threads/conversations associated with it.

NOD Analytic searches focus on conference tweets. These are tweets that are, ostensibly, created for the purpose of learning. The unique features of our search (as opposed to a general Twitter search) are explained on the left.

Finally, NOD Analytic searches are a great supplement to your PubMed literature searches. Links are provided so that you can properly cite the tweet.

Start by hovering over •Data and Search• on the menu bar above.


This service is completely free: free of cost or ads and there is no sponsorship for this initiative.

The databases are updated regularly by Tejas Desai, MD.

I hope you find this initiative a valuable learning experience and spread the word to your colleagues.